English

Fractal properties of Aldous-Kendall random metric

Probability 2023-01-31 v3

Abstract

Investigating a model of scale-invariant random spatial network suggested by Aldous, Kendall constructed a random metric TT on Rd\mathbb{R}^d, for which the distance between points is given by the optimal connection time, when travelling on the road network generated by a Poisson process of lines with a speed limit. In this paper, we look into some fractal properties of that random metric. In particular, although almost surely the metric space (Rd,T)\left(\mathbb{R}^d,T\right) is homeomorphic to the usual Euclidean Rd\mathbb{R}^d, we prove that its Hausdorff dimension is given by (γ1)d/(γd)>d(\gamma-1)d/(\gamma-d)>d, where γ>d\gamma>d is a parameter of the model; which confirms a conjecture of Kahn. We also find that the metric space (Rd,T)\left(\mathbb{R}^d,T\right) equipped with the Lebesgue measure exhibits a multifractal property, as some points have untypically big balls around them.

Keywords

Cite

@article{arxiv.2207.03349,
  title  = {Fractal properties of Aldous-Kendall random metric},
  author = {Guillaume Blanc},
  journal= {arXiv preprint arXiv:2207.03349},
  year   = {2023}
}

Comments

31 pages, 7 figures. Second version accepted for publication in Annales de l'Institut Henri Poincar\'e Probabilit\'es et Statistiques. Third version: slight improvement in one of the main results